A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal - Archive ouverte HAL Access content directly
Journal Articles IEEE Signal Processing Letters Year : 2020

A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal

(1) , (2) , (1) , (3)
1
2
3

Abstract

We propose a 4-dimensional (4D) basis and sampling scheme, along with a corresponding reconstruction algorithm, for the measurement and reconstruction of the b-tensor encoded diffusion signal in diffusion magnetic resonance imaging (MRI). This is only the second basis proposed for representing the b-tensor encoded diffusion signal and the first to allow for planar tensor measurements. We design a sampling scheme that attains an efficient number of samples, equal to the degrees of freedom required to represent the diffusion signal in the proposed 4D basis. The properties of the diffusion signal are studied to provide recommendations on how many b-tensor measurements to use. Evaluation of the proposed scheme using Monte Carlo simulations of the diffusion signal is done to show that the proposed scheme gives accurate interpolation of the signal.
Fichier principal
Vignette du fichier
article.pdf (902.86 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-02881980 , version 1 (26-06-2020)

Identifiers

Cite

Alice Bates, Alessandro Daducci, Parastoo Sadeghi, Emmanuel Caruyer. A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal. IEEE Signal Processing Letters, 2020, 27, pp.790-794. ⟨10.1109/LSP.2020.2991832⟩. ⟨inserm-02881980⟩
127 View
152 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More